Title
Study on population dynamics for triple-linked food chain using a simulation-based approach
Abstract
The procedures based on simulation have become a feasible testing method that does not require investing valuable resources to create a concrete prototype, especially with the increasing computational power of computers. Thus, design changes can be adopted and design errors can be fixed before it is too late. Simulation turns to be a cheap, safe and often more acceptable from an ethical perspective. In our work we summarize the results from the analysis with the help of a computational simulation of an elementary, yet analytically intractable problem scenario from the field of ecology. Our main goal is to confirm that even with a seemingly simple agent-based model and simulation, one could obtain plausible results regarding a system’s real life behavior. As a last point, we propose an efficient alternative for analysis, rather than the expensive simulation process.
Year
DOI
Venue
2020
10.1007/s12530-019-09298-1
Evolving Systems
Keywords
DocType
Volume
Population dynamics, Ecological simulation, Agent-based modeling, Predator-prey relation, Triple-linked food chain, Evolution-inspired optimization
Journal
11
Issue
ISSN
Citations 
2
1868-6478
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Kristiyan Balabanov110.35
Tymoteusz Cejrowski210.69
Doina Logofatu31716.74
Costin Badica442370.31